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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianhong Xiang Lili Guo Limin Wang Jianjun Zhang |
| Copyright Year | 2008 |
| Description | Author affiliation: Coll. of Inf. & Commun., Harbin Eng. Univ., Harbin (Jianhong Xiang; Lili Guo; Limin Wang) || Signal Process. Lab., Southwest China Inst. of Electron. Technol., Chengdu (Jianjun Zhang) |
| Abstract | Space-time Adaptive Processing (STAP) is usually applied to adaptive anti-jam system of Global Positioning System (GPS). It is the most effective way to reject the broadband interference. But STAP often dose matrix compute, which has a huge computational complexity. Paper investigates a recursive algorithm-Frost Least-Mean-Square (FLMS) algorithm. FLMS can reduce the workload of array signal processing and achieve real-time processing. By simulation, FLMS algorithm can not only well suppress the broadband jammer, but also suppress the number of interference more than that of the sensor elements of array antenna. FLMS algorithm makes it possibility that hardware achieves STAP. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 484651 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424439089 |
| DOI | 10.1109/ISSCAA.2008.4776170 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptive systems Array signal processing Computational modeling Interference Adaptive signal processing GPS suppressing interference Broadband antennas SATP Computational complexity Sensor arrays Global Positioning System Signal processing algorithms array signal processing |
| Content Type | Text |
| Resource Type | Article |
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